Social media platforms also function as breeding grounds for hate speech. Hate speech is offensive language targeting people based on their characteristics, including gender, race, or religion. The existing hate speec...
详细信息
The efficiency of transportation and road safety are critical factors for economic well-being, and they are substantially influenced by the condition of road surfaces. Unfortunately, existing practices often result in...
详细信息
This paper introduces an AI-driven fashion design system that uses Generative Adversarial Networks (GANs) and real-time fabric simulations to create optimized sportswear, particularly for gymnastics. By simulating fab...
详细信息
Before a heart attack happens, treating cardiac patients effectively depends on precise heart disease prediction. A heart disease prediction system for the determination of whether the patient has a heart disease cond...
详细信息
Academic scholars have focused a lot of emphasis on the application of machine learning (ML) techniques for compiler improvements. The use of machine learning strength compilers in the general-purpose sector is still ...
详细信息
This paper proposes an improved version of the Partial Reinforcement Optimizer(PRO),termed *** LNPRO has undergone a learner phase,which allows for further communication of information among the PRO population,changin...
详细信息
This paper proposes an improved version of the Partial Reinforcement Optimizer(PRO),termed *** LNPRO has undergone a learner phase,which allows for further communication of information among the PRO population,changing the state of the PRO in terms of ***,the Nelder-Mead simplex is used to optimize the best agent in the population,accelerating the convergence speed and improving the accuracy of the PRO *** comparing LNPRO with nine advanced algorithms in the IEEE CEC 2022 benchmark function,the convergence accuracy of the LNPRO has been *** accuracy and stability of simulated data and real data in the parameter extraction of PV systems are *** to the PRO,the precision and stability of LNPRO have indeed been enhanced in four types of photovoltaic components,and it is also superior to other excellent *** further verify the parameter extraction problem of LNPRO in complex environments,LNPRO has been applied to three types of manufacturer data,demonstrating excellent results under varying irradiation and *** summary,LNPRO holds immense potential in solving the parameter extraction problems in PV systems.
Segmentation of Spine with the 2 - Stage Semantic framework involves the Vertebrae and the Inter-vertebral discs components of the spine, helps in the identification of the spinal disorders. The methods using the Conv...
详细信息
This research introduces a unique approach to segmenting breast cancer images using a U-Net-based ***,the computational demand for image processing is very ***,we have conducted this research to build a system that en...
详细信息
This research introduces a unique approach to segmenting breast cancer images using a U-Net-based ***,the computational demand for image processing is very ***,we have conducted this research to build a system that enables image segmentation training with low-power *** accomplish this,all data are divided into several segments,each being trained *** the case of prediction,the initial output is predicted from each trained model for an input,where the ultimate output is selected based on the pixel-wise majority voting of the expected outputs,which also ensures data *** addition,this kind of distributed training system allows different computers to be used *** is how the training process takes comparatively less time than typical training *** after completing the training,the proposed prediction system allows a newly trained model to be included in the ***,the prediction is consistently more *** evaluated the effectiveness of the ultimate output based on four performance matrices:average pixel accuracy,mean absolute error,average specificity,and average balanced *** experimental results show that the scores of average pixel accuracy,mean absolute error,average specificity,and average balanced accuracy are 0.9216,0.0687,0.9477,and 0.8674,*** addition,the proposed method was compared with four other state-of-the-art models in terms of total training time and usage of computational *** it outperformed all of them in these aspects.
The need for sophisticated detection and response systems to counteract cyber threats has grown in importance as the cybersecurity landscape changes. In order to improve cyberattack detection and response, this study ...
详细信息
Effective communication and resource management are significantly hampered by the demanding underwater environment. The hard underwater environment causes the limited battery longevity of sensors, Underwater Wireless ...
详细信息
暂无评论